Using non-parallel voice conversion for speech conversion models

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United States of America

PATENT NO 12190862
APP PUB NO 20230298565A1
SERIAL NO

17660487

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Abstract

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A method includes receiving a set of training utterances each including a non-synthetic speech representation of a corresponding utterance, and for each training utterance, generating a corresponding synthetic speech representation by using a voice conversion model. The non-synthetic speech representation and the synthetic speech representation form a corresponding training utterance pair. At each of a plurality of output steps for each training utterance pair, the method also includes generating, for output by a speech recognition model, a first probability distribution over possible non-synthetic speech recognition hypotheses for the non-synthetic speech representation and a second probability distribution over possible synthetic speech recognition hypotheses for the synthetic speech representation. The method also includes determining a consistent loss term for the corresponding training utterance pair based on the first and second probability distributions and updating parameters of the speech recognition model based on the consistent loss term.

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Patent Owner(s)

Patent OwnerAddress
GOOGLE LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Biadsy, Fadi Mountain View, US 48 1175
Ramabhadran, Bhuvana Mt. Kisco, US 125 2541
Rosenberg, Andrew M Brooklyn, US 20 52
Wang, Gary Brooklyn, US 54 730

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